TW201739416A - Bed set for inhibition of Obstructive Sleep Apnea - Google Patents

Abstract

The present invention provides a bed set for inhibition of Obstructive Sleep Apnea, which includes: a sound receiving processor; a sound analyzing processor, which is connected with the sound receiving processor, is used to obtain a snoring signal characteristic from a user's respiratory signals; a database, which is used to a plurality of store airway collapse indexes, and the store airway collapse indexes corresponded a first angle control command and a second angle control command; a control processor, which is used to compare the respiratory sound signals with the snoring signal characteristic to selecta airway collapse index in the same waveform, and provide the airway collapse indexe corresponded first angle control command and second angle control command; a first pillow and a second pillow, which is connected to the processor declining a angle toward a declination direction after receiving the first and the second control command.

Description

Bed set for sleep breathing treatment

The present invention relates to a bed set for sleep breathing treatment and a method of using the same, and more particularly to a bed set capable of preventing or stopping a user from developing sleep apnea symptoms by adjusting the tilt angle of a pillow in the bed set.

Sleep Apnea (Sleep Apnea, also translated as sleep apnea or sleep apnea) is a sleep disorder. Men, obesity, alcoholism, and people who take sleeping pills and tranquilizers have a greater chance of getting older than the young adults. higher. The patient is in sleep, unable to breathe, causing sleep and breathing to stop, and often wakes up in his sleep, and will return to normal breathing after waking up. A similar situation can occur from dozens to hundreds of times a night. The time to wake up is not necessarily the same. It can be from a few seconds to more than one minute. The patient is not aware of it. Due to the intermittent sleep, patients can not enjoy good sleep, leading to dozing off during the day, lack of energy, and can not concentrate, thus affecting the quality of work and daily life.

Sleep apnea can be divided into: (1) Obstructive Sleep Apnea (OSA): the most common type, about 90% of patients belong to this category. The cause is that the soft tissue near the throat blocks the airway, making the upper airway narrower, which causes the snoring and breathing to stop. Patients with abnormal upper respiratory tract structure (such as nasal sacral flexion, turbinate hypertrophy, nasal polyps hyperplasia, uvula sag, tonsil hypertrophy, tongue root hypertrophy, etc.), respiratory muscle excess relaxation and obesity are also common causes. (2) Central Sleep Apnea (CSA): Because the brain is affected by stroke, trauma or other problems, the brain can not give a breathing command to form a sleep breathing stop. The other is a problem with the central nervous system. The respiratory message is abnormally transmitted and cannot cause respiratory movements, resulting in respiratory arrest. (3) Mixed sleep call Mixed Apnea: Both blocked and central sleep breathing stops.

Surgery is one of the current methods for treating or preventing sleep-disorders. However, due to the complex structure of the upper respiratory tract, not all patients are suitable for this method. The more common treatment is side sleeping, reducing the intake of alcohol or sleeping pills. However, the maintenance of the side-sleeping posture is inherently difficult, so patients often rely on an auxiliary pillow to maintain a side-sleeping posture. Nowadays, there are also pillows that specifically suppress sleep suspension. Commercially available such pillows can suppress sleeping pillows. By receiving a snoring sound signal, the pillow is pumped to adjust its height, thereby changing the position of the user's head and suppressing snoring. However, what the medical system calls snoring, especially obstructive sleep apnea (OSA), can not be overcome simply by changing the position of the head. Therefore, the traditional method still cannot solve the problem of breathing suspension caused by snoring when the user sleeps. This is an urgent problem to be solved.

In view of the above, the present invention provides a bed set for sleep breathing and medical treatment, and a related database for determining the position of sleep breathing to stop the blockage, to determine the position of sleep breathing suspension, and the airway collapse condition, and further utilize the bed of the present invention. With the user's body as the axis, tilt the head and body at different angles to achieve the effect of clearing the respiratory tract, and then repeatedly confirm the user's breathing signal. If the breathing signal has returned to normal, follow the original oblique direction. Tilt the direction to allow the user to return to the initial sleep environment.

The invention provides a bed set for sleep breathing treatment, a sound receiving module, receiving a breathing sound signal of a user at a time; a sound processing module connecting the sound receiving module, a sound spectrum of the respiratory sound signal to obtain a sound signal characteristic; a database for storing a plurality of airway collapse indices, and one of the first angle control commands and a second angle control command corresponding to the airway collapse index, The airway collapse index is classified by the characteristics of the squeaking signal of the plurality of breathing states; a control module is connected to the sound processing module and the database, and the snoring signal is compared with the breathing sound signal and the breathing states. Feature, selecting an airway collapse index to which the same waveform belongs, and providing the first angle control command and the second angle control command corresponding to the airway collapse index; a first pillow connected to the control module The first tilting module is covered by a soft material, and is placed under the head of the user when in use, to receive the first angle After the command system, a tilt direction towards a first angle; and a second pillow, which is connected to the control module based, packet-based soft material of the The second tilting module is placed under the side of the neck and the torso of the user. After receiving the second angle control command, the second tilting direction is inclined to a second angle.

Preferably, in the bed set according to the present invention, the time is included, but not limited to, the duration of vibration of a respiratory soft tissue during a breathing action.

Preferably, in the bed set of the present invention, the sound receiving module is further used, but is not limited to Principal Component Analysis (PCA) to filter noise in the breathing signal.

Preferably, in the bed set of the present invention, the sound signal characteristics are via, but not limited to, a short-time Fourier transform, and the breath sound signals obtained by the Gaussian window function and the sounds of the breathing states are obtained. Spectral harmonics.

Preferably, the bed set of the present invention further includes an image receiving module for receiving a plurality of respiratory image signals of the user at the time; and an image processing module connected to the image receiving module, An airway collapse index is obtained from the same respiratory region and an interest region in the respiratory image signals, wherein, further, in the database, the airway collapse index is characterized by the sound signal of the respiratory state and the airway According to the classification of the collapse index, the control module is connected to the image processing module, and the airway collapse index of the same sound waveform and the same image distribution is selected according to the respiratory image signal and the airway collapse index of the respiratory states. And providing the first angle control command and the second angle control command corresponding to the airway collapse index.

Preferably, in the bed set of the present invention, the image receiving module is further used, but is not limited to an adaptive partial averaging filter to improve the signal to noise ratio in the respiratory image signals.

Preferably, in the bed set of the present invention, the respiratory image signals can be a sagittal view.

Preferably, in the bed set according to the present invention, the airway collapse index is the respiratory image signal and the ratio of the area of the respiratory region to the area of the region of interest in the respiratory states.

Preferably, in the bed set according to the present invention, the airway region is obtained by segmentation of the region of interest using an Active Contour Model (ACM).

Preferably, in the bed set of the present invention, the control module further obtains a plurality of time reference points according to the respiratory image receiving sequence, and corrects a time error of the click signal feature and the airway collapse index.

Preferably, in the bed set of the present invention, the first pillow and the second pillow may be parallel to the direction of the user's torso and tilt the first angle and the second toward the same oblique direction. angle.

Preferably, in the set of beds according to the present invention, the first angle and the second angle are respectively arbitrary angles, and in the preferred embodiment, they are one of 15 degrees, 30 degrees or 60 degrees.

Preferably, in the bed set of the present invention, the first pillow and the second pillow are connected to form an L-shaped pillow.

In order to make those skilled in the art understand the technical content of the present invention and implement it, and according to the disclosure, the patent scope and the drawings, the related objects and advantages of the present invention can be easily understood by those skilled in the art. The detailed features and advantages of the present invention will be described in detail in the embodiments.

100‧‧‧ Bed set for sleep and treatment

110‧‧‧Sound Receiver Module

120‧‧‧Sound Processing Module

130‧‧‧Database

140‧‧‧Control Module

150‧‧‧First pillow

160‧‧‧ second pillow

170‧‧‧ oblique direction

180‧‧‧Users

S200~S242‧‧‧ Flowchart for avoiding sleep and breathing

1 is a schematic view of one embodiment of a sleep breathing treatment bed set according to the present invention; FIG. 2 is a flow chart of a method for avoiding sleep breathing suspension according to an embodiment of the present invention; FIG. 3 is a schematic diagram of an embodiment of the present invention; Exhalation and inhalation squeak signal and its sonogram; Fig. 4 is a snoring signal and its sonogram of the embodiment of the invention; Fig. 5 is a respiratory tract dynamic image and airway corresponding to the humming signal of Fig. 4 Collapsing index; FIG. 6 is a continuous respiratory sound signal spectrum and its airway collapse index curve according to an embodiment of the present invention; FIG. 7 is an airway collapse index and squeaking signal characteristic of different blocking positions according to an embodiment of the present invention; Correlation diagram; and FIG. 8 is a statistical diagram of airway collapse index and squeak signal characteristics of different blocking positions according to an embodiment of the present invention.

In order to fully understand the effects of the present invention, the preferred embodiments of the present invention are described below with reference to the drawings and drawings.

As shown in FIG. 1 , the present invention provides a bed set 100 for sleep breathing treatment, and a sound receiving module 110 receives a user 180 to breathe a sound signal at one time; the time is a breath. During the action, the vibration duration of a soft tissue of the respiratory tract. In one embodiment, the sound receiving module further filters the noise in the respiratory signal using Principal Component Analysis (PCA).

A sound processing module 120 is connected to the sound receiving module 110, and obtains a sound signal characteristic from the sound spectrum of the breathing sound signal; in an embodiment, the sound signal characteristics are converted by short time Fourier transform. And the breathing sound signal obtained by the Gaussian window function and the spectrogram harmonics of the breathing states.

a database 130 for storing a plurality of airway collapse indices, wherein the airway collapse indices correspond to one of a first angle control command and a second angle control command, wherein the airway collapse indices are caused by a plurality of respiratory states The sound signal feature is classified into a control module 140, and the sound processing module and the data library are connected, and the airway collapse of the same waveform is selected according to the breath sound signal and the sound signal characteristics of the respiratory states. Indexing, and providing the first angle control command and the second angle control command corresponding to the airway collapse index; a first pillow 150 connected to the control module, the first tilting die being covered by a soft material Formed, placed under the head of the user 180 after use, after receiving the first angle control command, tilting a first angle toward an oblique direction 170; and a second pillow 160 connecting the The control module 140 is coated with a second tilting module by the soft material, and is placed under the neck of the user 180 and below the side of the torso to be received. After the control instruction in the one oblique direction 170 inclined by a second angle.

The first pillow 150 and the second pillow 160 are axially parallel to the direction of the torso of the user 180, and the first angle and the second angle are inclined in the same oblique direction 170. In a preferred embodiment, the first angle and the second angle may each be one of 15 degrees, 30 degrees, or 60 degrees. In a preferred embodiment, the first pillow and the second pillow are connected to form an L Pillows.

Preferably, the bed set 100 of the present invention further comprises: an image receiving module for receiving the plurality of breath image signals of the user at the time; and an image processing module connected to the image receiving module, The same respiratory region and an region of interest in the respiratory image signal obtain an airway collapse index, wherein the database 130 further classifies the airway collapse index by the characteristics of the respiratory state and the airway collapse index. And the control module is connected to the image processing module, and selects an airway collapse index to which the sound waveform and the image distribution are the same as the airway collapse index of the respiratory image signal and the respiratory state, and provides the airway collapse The index corresponds to the first angle control command and the second angle control command.

In an embodiment, the image receiving module further uses an adaptive partial averaging filter to increase the signal to noise ratio of the respiratory image signals. In a preferred embodiment, the respiratory image signals are in a sagittal view. In a preferred embodiment, the airway collapse index is the ratio of the area of the airway region to the area of the region of interest in the respiratory image signal and the respiratory states. In a preferred embodiment, the airway region is obtained from the region of interest using an Active Contour Model (ACM) segmentation. In a preferred embodiment, the control module further obtains a plurality of time reference points according to the respiratory image signal receiving sequence, and corrects a time error of the click signal feature and the airway collapse index.

As shown in Fig. 2, the present invention provides a method for avoiding sleep apnea, which is through the bed set 100 of the present invention, comprising the steps of: the user 180 lying flat above the bed set, the head being placed a second pillow 160 is placed on the neck 180 of the user 180 and below the trunk side S210; through a sound receiving module 110, one of the user's breathing signals is received, and A sound signal feature S220 is obtained through a sound processing module 120. A control module 140 selects an airway collapse index to which the same waveform belongs, by providing a sound signal characteristic of the respiratory sound signal and the plurality of respiratory states. The airway collapse index corresponds to the first angle control command and the second angle control command S230; after receiving the first angle control command, the first pillow tilts the first angle S241 according to the tilt direction 170; After receiving the second angle control command, the second pillow tilts the second angle S242 according to the tilt direction 170.

As shown in Figure 3, (a) is a denoised click signal, which can be seen in different forms of fluctuations, and can distinguish between the inspiratory I and the exhalation E. The sound spectrum shown in (b) is obtained by subjecting the click signal to a short-time Fourier Transform and a Gaussian sliding window. The window size of the Gaussian window function is 0.1 second, and the displacement between the two successive windows is 0.005 seconds. In (b), it can be seen that the H part is a harmonic, the F part is a fundamental wave, and the NH part is a non-harmonic.

It has been observed by the inventors that during sleep, the muscle tension of the subject is lowered to support the tissue structure of the upper respiratory tract. When inhaling, the airflow passes through the soft tissue of the upper respiratory tract and vibrates the soft tissue to generate harmonics (part H), while generating a squeak, and no exhalation produces harmonics (NH part). Therefore, the time of inhalation and exhalation and the duration of the snoring can be known from the spectrogram of the snoring signal. In this way, the beep signal feature can be obtained from the harmonics in the spectrogram. The duration of the harmonics, which is the duration of the soft tissue vibration, can be considered a squeak signal feature.

As shown in Figures 4 and 5, there is a set of humming signals in Figure 4(a). The sound spectrum is in Figure 4(b). It can be seen that harmonics appear and the harmonics last for a long time. It is the duration of the soft tissue vibration, and there are buzzing sounds. Similarly, the H part is the harmonic and the F part is the fundamental wave. Referring to Figures 5(a) to 5(f), Figure 5(a) shows time 23.0 seconds, airway collapse index is 15.8%, picture 5(b) shows time 23.5 seconds, and airway collapse index is 9.8%. Figure 5(c) shows time 24.1 seconds, airway collapse index is 6.8%, and figure 5(d) shows time 24.6 seconds, airway collapse index is 5.4%, and figure 5(e) shows time 25.1 seconds. The collapse index was 10.3%, the 5th (f) chart was time 25.6 seconds, and the airway collapse index was 16.4%. From Fig. 5(a) to Fig. 5(c), it can be observed that the area behind the tongue gradually collapses, and it can be found from Fig. 4 that the buzzing sounds. By the time of the 5th (d) diagram, the inhalation reaches the end, the airway collapse index is minimized, and the snoring ends. Then, from the 5th (d)th to the 5th (f)th, the collapsed airway is expanded again, and the squeak ends without generating harmonics in the spectrogram.

As shown in Figure 6(a), after converting the continuous breathing sound signal into a sound spectrum, the part of the inhalation I and the exhalation E can be discerned, and the presence or absence of harmonics can further distinguish the buzzing sound. Signal, and define five soft tissue vibration durations VTD, which is the characteristics of the buzz signal. Referring to Figure 6(b), which is a graph of the calculation results of the airway collapse index in multiple dynamic images simultaneously recorded with continuous breathing sound signals, wherein the sampling frequency is 0.5 Hz, via 5 soft tissue vibration durations and corresponding Dynamic image, airway collapse index, airway can be observed The narrowing of the gradient (decreased airway collapse index) is about two more serious snoring events at about 25 seconds and 30 seconds. It can be observed that the posterior sacral and post-lingual obstruction is blocked. The airway collapse index is lower than this. 10%, and the soft tissue vibration lasts longer, and at 30 to 40 seconds, the back of the tongue has completely collapsed and blocked, and the snoring stops.

As shown in Figure 7, the associated maps are drawn from the data of the associated database, and it can be seen that different blocking locations have different airway collapse indices and vibration durations. As shown in Fig. 8, the statistical graph shows that the airway collapse index and the vibration duration are significantly different due to different blocking positions, and the airway collapse index is related to the vibration duration. It can be seen from the statistics that the different respiratory sleep discontinuation has a statistically significant difference in airway collapse index. For example, the pure sputum occlusion has an airway collapse index of about 24% ± 11%, while the posterior and posterior lingual obstruction has Airway collapse index is about 13% ± 7% [P 0.0001]. Therefore, it is proved that the associated database can be used to correspond to the airway collapse index associated with the duration of vibration, and the position of the airway collapse in which sleep breathing is suspended can be determined accordingly.

The embodiments are described to illustrate the features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the present invention and to implement the present invention without limiting the scope of the present invention. Equivalent modifications or modifications made by the spirit of the disclosure should still be included in the scope of the claims described below.

100‧‧‧Bed set for sleep and breathing treatment

110‧‧‧Sound Receiver Module

120‧‧‧Sound Processing Module

130‧‧‧Database

140‧‧‧Control Module

150‧‧‧First pillow

160‧‧‧ second pillow

170‧‧‧ oblique direction

180‧‧‧Users

Claims (13)

A bed set for sleep breathing treatment includes: a sound receiving module for receiving a breathing sound signal of a user at a time; a sound processing module connecting the sound receiving module by the breathing a sound spectrum of the sound signal, obtaining a sound signal characteristic; a database for storing a plurality of airway collapse indexes, and the airway collapse index corresponding to the first angle control command and a second angle control command, wherein The airway collapse index is classified by the characteristics of the snoring signal of the plurality of breathing states; a control module is connected to the sound processing module and the database, and the breathing signal and the snoring signal characteristics of the breathing states are compared Selecting an airway collapse index to which the same waveform belongs, and providing the first angle control command corresponding to the airway collapse index and the second angle control command; a first pillow connected to the control module a soft material is coated with a first tilting module, and is placed under the head of the user when in use, to receive the first angle control Afterwards, tilting a first angle toward an oblique direction; and a second pillow connected to the control module, the second tilting module is covered by the soft material, and is placed on the user's neck when in use And below the side of the torso, after receiving the second angle control command, tilting a second angle toward an oblique direction. The bed set according to claim 1, wherein the time is a vibration duration of a respiratory soft tissue in a breathing action. The bed set according to claim 1, wherein the sound receiving module further filters the noise in the breathing signal using Principal Component Analysis (PCA). The bed set according to claim 1, wherein the click signal characteristics are converted by a short time Fourier transform, and the breath sound signal obtained by the Gaussian window function and the sound spectrum of the respiratory states are obtained. harmonic. The bed set according to claim 2, further comprising: an image receiving module, receiving the plurality of respiratory image signals of the user at the time; An image processing module is connected to the image receiving module to obtain an airway collapse index from the same one of the respiratory image signals and an interest region, wherein, further, the air channels in the database The collapse index is classified by the snoring signal characteristics of the respiratory states and the airway collapse index, and the control module is connected to the image processing module, and selects the respiratory imaging signal and the airway collapse index of the respiratory states. An airway collapse index to which the sound waveform and the image distribution are the same, and the first angle control command corresponding to the airway collapse index and the second angle control command are provided. The bed set according to claim 5, wherein the image receiving module further uses an adaptive partial averaging filter to increase a signal to noise ratio in the respiratory image signals. The bed set according to claim 6, wherein the respiratory image signals are in a sagittal view. The bed set according to claim 5, wherein the airway collapse index is the respiratory image signal and a ratio of an area of the respiratory region to an area of the region of interest in the respiratory states. The bed set according to claim 8, wherein the airway region is obtained by using an Active Contour Model (ACM) segmentation in the region of interest. The bed set according to claim 5, wherein the control module further obtains a plurality of time reference points according to the respiratory image receiving sequence, and corrects a time error of the click signal characteristic and the airway collapse index . The bed set according to claim 1, wherein the first pillow and the second pillow are axially parallel to a direction of the user's torso, and the first angle is inclined in the same oblique direction and The second angle. The bed set according to claim 1, wherein the first angle and the second angle are respectively one of 15 degrees, 30 degrees or 60 degrees. The bed set according to claim 1, wherein the first pillow and the second pillow are connected to form an L-shaped pillow.